Avramidou, Alexia

2021-09-10T11:38:02Z

https://repository.ihu.edu.gr//xmlui/handle/11544/29808

Greenhouse gas emissions

Building CO2 emissions prediction using Machine Learning/Data Mining

This dissertation focuses on the development of machine learning algorithms to predict greenhouse gas emissions caused by the building sector and identify key building characteristics which lead to excessive emissions.

Avramidou, Alexia

2021-06-01

free

School of Science and Technology, MSc in Data Science

This dissertation focuses on the development of machine learning algorithms to predict greenhouse gas emissions caused by the building sector and identify key building char-acteristics which lead to excessive emissions. More specifically, two problems are dis-cussed: the prediction of metric tons of CO2 emitted annually by a building and building compliance to environmental laws according to its physical characteristics, energy, fuel, and water consumption. The outcomes prove that energy use intensity and natural gas use are significant factors for decarbonizing the building sector.

Bozanis, Panagiotis

IHU